Constrained Maximum Entropy Contiguous Aggregations

Roberto Bruno; Ugo Vaccaro

doi:10.1109/isit62367.2026.11654039

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arXiv · 2608.25533

Constrained Maximum Entropy Contiguous Aggregations

Roberto Bruno·Ugo Vaccaro

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Abstract

Given a probability distribution $p = (p_1, \dots, p_n)$ and an integer $1\leq m \leq n$, a contiguous aggregation of $p$ is a probability distribution $q = (q_1, \dots, q_m)$ such that each $q_i$ is a sum of consecutive elements of $p$. Given $p$ and a positive number $R$, we consider the problem of computing a maximum entropy contiguous aggregation $q$ of $p$, under the constraint that its Shannon entropy $H(q)$ is at most $R$. We devise a dynamic programming algorithm that solves the problem exactly, and two time-efficient greedy algorithms that provide close-to-optimal solutions. We discuss a few scenarios where our problem arises.

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Roberto Bruno, Ugo Vaccaro. 2026-08-26. Constrained Maximum Entropy Contiguous Aggregations. https://doi.org/10.1109/isit62367.2026.11654039

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